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   "id": "ef0e6142-6ffd-4916-9850-483d2b1cd950",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "x = np.array([[182],[178],[168],[165],[162],[158],[154],[149],[144]])\n",
    "y = np.array([[113],[105],[86],[83],[86],[74],[78],[45],[49],[43]])\n",
    "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.3,random_state=0)\n",
    "k"
   ]
  }
 ],
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